Opportunity Landscape Mapping

Intent

• •Detect emerging wants, friction points, and timing windows across consumer categories, platforms, and geographies.
• •Translate diffuse signals into crisp problem statements and opportunity theses.

Inputs

1. •Macro trend library (culture, tech, regulatory, commerce, creator economy, web3, gaming).
2. •Behavioral data: search terms, app store reviews, social chatter, marketplace data, support tickets.
3. •Jobs-to-be-done interviews or transcripts.

Workflow

1. •Frame the arena
   • •Define target segment, contexts of use, and competing alternatives.
   • •Capture constraints (distribution, tech stack, platform rules).
2. •Signal harvesting
   • •Pull at least three independent data sources (quant + qual).
   • •Tag signals by magnitude (market size), urgency, and underserved intensity.
3. •Opportunity scoring
   • •Score each thesis on desirability, feasibility, timing, and strategic fit (0–5 scale).
   • •Highlight contrarian or under-served jobs with high desirability but low current satisfaction.
4. •Narrative articulation
   • •Produce a one-page brief: user tension, evidence, why-now drivers, first wedge.
   • •List unknowns that require experiments vs. desk research.

Verification

• •Ensure each opportunity thesis cites at least two evidentiary sources.
• •Review scores with a peer strategist or PM for bias.
• •Archive briefs in shared knowledge base for reuse.